In this note we identify some similarities and differences between two clustering models, viz., the fuzzy c-means (FCM) and Kohonen self-organizing (KSO) feature map approaches. This leads us to suggest that there is an important unknown relationship between the two methodologies. Consequently, we propose several avenues of research which, if successfully resolved, will strengthen both the FCM and Kohonen models and their utility for applications in clustering and classifier design.
James C. Bezdek,
"Note on generalized self-organizing network algorithms", Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21076; https://doi.org/10.1117/12.21076